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PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
14 years 7 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
IDA
2011
Springer
14 years 4 months ago
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
Abstract. The goal of this article is to introduce a collaborative clustering approach to the domain of ubiquitous knowledge discovery. This clustering approach is suitable in peer...
Benoît Depaire, Rafael Falcón, Koen V...
75
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ICIP
2009
IEEE
14 years 7 months ago
Footprint tracking and recognition using a pressure sensing floor
This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed met...
Jiqing Zhang, Gang Qian, Assegid Kidané
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 days ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
SADM
2010
141views more  SADM 2010»
14 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman